Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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Apr 1, 2020 • 1h 16min

353: How to Practice Human-Centric Data Science

Brian T. O’Neill joins me for an insightful dive into how you can implement human-centric practices into your data work, whether you’re a consultant or individual contributor. There are ways and steps to workshop best practices in conversations with stakeholders.In this episode you will learn: Brian’s two lives [7:28] Brian’s human-first focal point [10:05] The process of Brian’s consulting work [17:07] How can an individual contributor be better at design thinking? [40:43] Walkthrough Brian’s course and seminar [54:37] Additional materials: www.superdatascience.com/353
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Mar 27, 2020 • 14min

352: History of Data Science - Part 5

Today, we’re diving into our fifth and final part of our history of data science series by looking into data science’s future through the eyes of five of the most influential people in our space and how they see the next few decades.Additional materials: www.superdatascience.com/352
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Mar 25, 2020 • 1h 1min

351: Self-Starting In Data Science

Stratos Hadjioannou is a freshly hired data scientist who is self-taught and made the jump to visit DSGO. He talks about his learnings, putting himself in a data science ecosystem, and how to tackle interviews with little experience.In this episode you will learn: Where did Stratos start? [6:16] How to keep the momentum for learning [12:20] Stratos’s goals [19:35] Planning the steps to getting a data science job [23:01] Triad for successful interviews [32:47] Application process [34:53] Experiences from the first data science job [45:51] Additional materials: www.superdatascience.com/351
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Mar 20, 2020 • 6min

350: Coronavirus

Today, we take some time to discuss the real mental and emotional toll social distancing can take during the coronavirus. How can we effectively tackle each other's needs during this period?Additional materials: www.superdatascience.com/350
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Mar 19, 2020 • 1h 2min

349: Human-in-the-Loop Algorithms in Retail

Brad Klingenberg talks about the unique way Stitch Fix uses algorithms and human-in-the-loop AI to generate excellent customer experiences and pull ahead of other retailers in the space.In this episode you will learn: Working in Stitch Fix [5:18] How does Stitch Fix work? [11:29] Stitch Fix algorithms tour [20:14] Open positions in Stitch Fix [36:25] Stitch Fix takeaways for other companies [39:07] Humans + machines [44:19] Stitch Fix global expansion [47:34] Future of personalization [50:16] Brad’s advice to data scientists [55:33] Additional materials: www.superdatascience.com/349
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Mar 13, 2020 • 20min

348: History of Data Science - Part 4

In the penultimate episode of our history of data science series, we look at 2015 on and watch as data science goes from being about hard skills and coding to being about ethics and progress.Additional materials: www.superdatascience.com/348
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Mar 12, 2020 • 1h 9min

347: How To Tell Your Story For Career Success

Kerri Twigg talks with me about her work in helping professionals talk about themselves and tell stories about their passions and professional work to land ideal jobs and propel their career trajectory.In this episode you will learn: Kerri at DSGO 2019 [6:09] Who is Kerri Twigg? [8:00] A case study from DSGO 2019 [9:51] How do you build a career story? [18:30] Kerri’s book and practices [32:35] How to prepare for interviews [43:22] 3-Parts of a career story [56:53] Additional materials: www.superdatascience.com/347
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Mar 6, 2020 • 15min

346: My Top 5 Productivity Hacks

In this FiveMinuteFriday we take a break from our series on the history of data science to discuss productivity and my top 5 hacks for getting more hours out of your day and week.Additional materials: www.superdatascience.com/346
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Mar 5, 2020 • 1h 12min

345: Machine Learning At Twitter

I speak with Dan Shiebler who works as a machine learning engineer at Twitter Cortex and at the same time, is doing a Ph.D. on applying category theory in machine learning. We discuss his work at Twitter, the importance of academics, and the future of machine learning.In this episode you will learn: What is great about Twitter [5:31] Dan’s Ph.D. program [9:25] Dan’s work at Twitter [18:07] Dan at DSGO 2020 [35:16] LinkedIn Q&A [40:25] Dan’s advice [1:03:58] Additional materials: www.superdatascience.com/345
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Feb 28, 2020 • 8min

344: History of Data Science - Part 3

In the third of five episodes in this series, I journey through 2010 into 2015 to look at the boom of self-driving cars, the growth of data science as a profession, and the beginning of educational paths for future data scientists. Additional materials: www.superdatascience.com/344

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